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Research Article | Open Access

A Hilliges-Weidlich-type scheme for a one-dimensional scalar conservation law with nonlocal flux

Raimund Bürger1Harold Deivi Contreras2( )Luis Miguel Villada2,3
CI2MA and Departamento de Ingeniería Matemática, Universidad de Concepción, Casilla 160-C, Concepción, Chile
GIMNAP - Departamento de Matemática, Universidad del Bío-Bío, Concepción-Chile
CI2MA, Universidad de Concepción, Casilla 160-C, Concepción, Chile
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Abstract

The simulation model proposed in [M. Hilliges and W. Weidlich. A phenomenological model for dynamic traffic flow in networks. Transportation Research Part B: Methodological, 29 (6): 407–431, 1995] can be understood as a simple method for approximating solutions of scalar conservation laws whose flux is of density times velocity type, where the density and velocity factors are evaluated on neighboring cells. The resulting scheme is monotone and converges to the unique entropy solution of the underlying problem. The same idea is applied to devise a numerical scheme for a class of one-dimensional scalar conservation laws with nonlocal flux and initial and boundary conditions. Uniqueness of entropy solutions to the nonlocal model follows from the Lipschitz continuous dependence of a solution on initial and boundary data. By various uniform estimates, namely a maximum principle and bounded variation estimates, along with a discrete entropy inequality, the sequence of approximate solutions is shown to converge to an entropy weak solution of the nonlocal problem. The improved accuracy of the proposed scheme in comparison to schemes based on the Lax-Friedrichs flux is illustrated by numerical examples. A second-order scheme based on MUSCL methods is presented.

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Networks and Heterogeneous Media
Pages 664-693

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Cite this article:
Bürger R, Contreras HD, Villada LM. A Hilliges-Weidlich-type scheme for a one-dimensional scalar conservation law with nonlocal flux. Networks and Heterogeneous Media, 2023, 18(2): 664-693. https://doi.org/10.3934/nhm.2023029

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Received: 14 September 2022
Revised: 25 January 2023
Accepted: 25 January 2023
Published: 15 June 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)